TimesFM Forecasting

Routing Boundary

Use this skill only for TimesFM, zero-shot forecasting, foundation forecasting, forecast horizons, prediction intervals, or TimesFM-specific time-series pipelines. Do not use it for generic business forecasting, ARIMA baselines, tabular regression, ordinary scikit-learn modeling, or exploratory time-series analysis without TimesFM/foundation-model signals.

Overview

TimesFM (Time Series Foundation Model) is a pretrained decoder-only foundation model developed by Google Research for time-series forecasting. It works zero-shot — feed it any univariate time series and it returns point forecasts with calibrated quantile prediction intervals, no training required.

This skill wraps TimesFM for safe, agent-friendly local inference. It includes a mandatory preflight system checker that verifies RAM, GPU memory, and disk space before the model is ever loaded so the agent never crashes a user's machine.